摘要
对小波变换与傅立叶变换进行了比较。由于小波分析能对信号高、低频部分局部细化并保留原信号的时域特征,因而具有良好的时频特性,能对非平稳信号进行有效识别,达到故障诊断的目的。
Wavelet analysis is compared with Fourier transform. Wavelet analysis has good time - frequency features due to its capability of localizing and differentiating the high and low frequencies of a signal and keeping the time domain features of the original signal. It can effectively identify the unstable signals to meet the requirements of fault diagnosis.
出处
《煤矿机械》
北大核心
2006年第5期893-895,共3页
Coal Mine Machinery
关键词
小波变换
故障诊断
分析
wavelet analysis
fault diagnosis
analysis
